| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method. |
| An arbitrary file upload vulnerability in MK-Auth 23.01K4.9 allows attackers to execute arbitrary code via uploading a crafted PHP file. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system. |
| An arbitrary file upload vulnerability in the ShopOrderImportController.java component of qihang-wms commit 75c15a allows attackers to execute arbitrary code via uploading a crafted file. |
| Firmament-Autopilot FMT-Firmware commit de5aec was discovered to contain a buffer overflow via the task_mavobc_entry function at /comm/task_comm.c. |
| striso-control-firmware 54c9722 is vulnerable to Buffer Overflow in function ThreadReadButtons. |
| striso-control-firmware 54c9722 is vulnerable to Buffer Overflow in function AuxJack. |
| U-SPEED AC1200 Gigabit Wi-Fi Router (Model: T18-21K) V1.0 is vulnerable to Command Injection. The Network Time Protocol (NTP) configuration interface does not properly sanitize user-supplied input. An authenticated user with permission to configure NTP settings can inject arbitrary system commands through crafted input fields. These commands are executed with elevated privileges, leading to potential full system compromise. |
| RMCP is an official Rust SDK for the Model Context Protocol. Prior to version 1.4.0, the rmcp crate's Streamable HTTP server transport (crates/rmcp/src/transport/streamable_http_server/) did not validate the incoming Host header. This allowed a malicious public website, via a DNS rebinding attack, to send authenticated requests to an MCP server running on the victim's loopback or private-network interface. This vulnerability is fixed in 1.4.0. |
| An issue in Nodemailer smtp_server before v.3.18.3 allows a remote attacker to cause a denial of service via the SMTPStream._write, lib/smtp-stream.js components |
| The bitcoinj library is a Java implementation of the Bitcoin protocol. Prior to 0.17.1, ScriptExecution.correctlySpends() contains two fast-path verification bugs for standard P2PKH and native P2WPKH spends in core/src/main/java/org/bitcoinj/script/ScriptExecution.java. In both branches, bitcoinj verifies an attacker-controlled signature/public-key pair but fails to verify that the public key is the one committed to by the output being spent. As a result, any attacker keypair can satisfy bitcoinj's local verification for arbitrary P2PKH and P2WPKH outputs. This vulnerability is fixed in 0.17.1. |
| OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.18.0 and 3.1.13.0, a heap-based buffer overflow in the HEIF decoder of OpenImageIO allows out-of-bounds writes via crafted images due to a subimage metadata mismatch, leading to memory corruption and potential code execution. This vulnerability is fixed in 3.0.18.0 and 3.1.13.0. |
| OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.18.0 and 3.1.13.0, a signed 32-bit integer overflow in the loop index expression i * 4 inside SwapRGBABytes() causes the function to compute a large negative pointer offset when processing kABGR DPX images with large dimensions. The immediate crash is an out-of-bounds read (the memcpy at line 45 reads from &input[i * 4] first), but the subsequent write operations at lines 46–49 target the same wrapped offset — making this a combined OOB read+write primitive. This vulnerability is fixed in 3.0.18.0 and 3.1.13.0. |
| Cleartext storage of sensitive information in the ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to extract the HMAC signing key from SageMaker API responses and forge valid integrity signatures for specially crafted model artifacts, achieving code execution in inference containers. This issue requires a remote authenticated actor with permissions to call SageMaker describe APIs and S3 write access to the model artifact path.
To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK. |
| Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle payload that is deserialized without verification. This issue requires a remote authenticated actor with S3 write access to the model artifact path.
To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any Triton models previously created with ModelBuilder using the updated SDK. |
| Authorization bypass through User-Controlled key vulnerability in APPYAP Technology and Information Inc. Yaay Social Media App allows Accessing Functionality Not Properly Constrained by ACLs.
This issue affects Yaay Social Media App: from 3.8.0 through 24102025. |
| Authorization bypass through User-Controlled key vulnerability in Yordam Information Technology Consulting, Training and Electronic Systems Industry and Trade Inc. Library Automation System allows Exploitation of Trusted Identifiers.
This issue affects Library Automation System: from v.21.6 before v.22.1. |
| Nerdbank.MessagePack is a NativeAOT-compatible MessagePack serialization library. Prior to 1.1.62, Nerdbank.MessagePack contains an uncontrolled stack allocation vulnerability in DateTime decoding. A malicious MessagePack payload can declare an oversized timestamp extension length, causing the reader to allocate an attacker-controlled number of bytes on the stack. This can trigger a StackOverflowException, which is not catchable by user code and terminates the process. This vulnerability is fixed in 1.1.62. |
| Valtimo is an open-source business process automation platform. From 12.4.0 to 12.33.0 and 13.26.0, the LoggingRestClientCustomizer in the web module automatically intercepts all outgoing HTTP calls made via Spring's RestClient and logs the full request body, response body, and response headers. When an error response is received, this information is included in the thrown HttpClientErrorException message, which is logged at ERROR level by Spring's default exception handling — regardless of the application's DEBUG log level setting. This vulnerability is fixed in 12.33.0 and 13.26.0. |
